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» Using probabilistic model checking in systems biology
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CORR
2012
Springer
170views Education» more  CORR 2012»
14 years 2 months ago
What Cannot be Learned with Bethe Approximations
We address the problem of learning the parameters in graphical models when inference is intractable. A common strategy in this case is to replace the partition function with its B...
Uri Heinemann, Amir Globerson
ECCV
2000
Springer
16 years 8 months ago
Euclidean Group Invariant Computation of Stochastic Completion Fields Using Shiftable-Twistable Functions
We describe a method for computing the likelihood that a completion joining two contour fragments passes through any given position and orientation in the image plane, that is, a m...
John W. Zweck, Lance R. Williams
ADAEUROPE
2005
Springer
16 years 4 days ago
Non-intrusive System Level Fault-Tolerance
This paper describes the methodology used to add nonintrusive system-level fault tolerance to an electronic throttle controller. The original model of the throttle controller is a...
Kristina Lundqvist, Jayakanth Srinivasan, Sé...
SOSP
1997
ACM
15 years 8 months ago
A Decentralized Model for Information Flow Control
This paper presents a new model for controlling information flow in systems with mutual distrust and decentralized authority. The model allows users to share information with dis...
Andrew C. Myers, Barbara Liskov
CRV
2006
IEEE
160views Robotics» more  CRV 2006»
16 years 20 days ago
Multiple-Sensor Indoor Surveillance System
This paper describes a surveillance system that uses a network of sensors of different kind for localizing and tracking people in an office environment. The sensor network consist...
Valery A. Petrushin, Gang Wei, Omer Shakil, Damian...